Instructions to use anyiwang/mistral_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anyiwang/mistral_5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/mistral-7b-instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "anyiwang/mistral_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be76f903fdd13cac08799b54f442730a8480c245b37db3406318bc38ac9a0f48
- Size of remote file:
- 4.66 kB
- SHA256:
- de2345c74996634d51f8cd31e1dd3b5ae903dfff792ab9c527de1dcc6193efac
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